Skip to Main content Skip to Navigation
Conference papers

Sneak paths effects in CBRAM memristive devices arrays for spiking neural networks

D. Roclin 1 O. Bichler 1 C. Gamrat 1 J.-O. Klein 2
1 DACLE-LIST - Département d'Architectures, Conception et Logiciels Embarqués-LIST
2 IEF - Institut d'électronique fondamentale
Abstract : In this paper, we study the effects of sneak paths and parasitic metal line resistance in arrays of CBRAM memristive devices operating as synapses for spiking neural networks. Three structures of crosspoint array are reviewed: the crossbar (1R), the anode connected matrix (1T-IR) and the cathode connected matrix (1T-IR). We show that the crossbar is an energy-consuming structure with high leakage during SET/RESET and with an increased switching time due to voltage drops along the lines. Furthermore, we show that parasitic line resistance can have a significant impact on the read resistance of the devices, depending on their location in the crossbar.
Keywords : Cross-point array Line resistance Metal line Spiking neural networks Switching time Voltage drop Neural networks Nanotechnology Memristors Electrodes
Document type :
Conference papers
Complete list of metadata
https://hal-cea.archives-ouvertes.fr/cea-01839862
Contributor : Léna Le Roy <>
Submitted on : Monday, July 16, 2018 - 10:06:13 AM
Last modification on : Saturday, May 1, 2021 - 3:39:04 AM

Identifiers

Collections

CEA | CNRS | DRT | LIST | GS-COMPUTER-SCIENCE

Citation

D. Roclin, O. Bichler, C. Gamrat, J.-O. Klein. Sneak paths effects in CBRAM memristive devices arrays for spiking neural networks. 2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), Oct 2014, Paris, France. pp.13-18, ⟨10.1109/NANOARCH.2014.6880501⟩. ⟨cea-01839862⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

103